Zobrazeno 1 - 10
of 28 238
pro vyhledávání: '"A, Rusu"'
Autor:
Nistor, Simona, Rusu, Mihaela
In this paper, we extend the investigation of biconservative surfaces with parallel normalized mean curvature vector fields (PNMC) in the 4-dimensional space forms, focusing on the hyperbolic space \mathbb{H}^4, the last remaining case to explore. We
Externí odkaz:
http://arxiv.org/abs/2408.07359
There is a growing interest in methods for detecting and interpreting changes in experimental time evolution data. Based on measured time series, the quantitative characterization of dynamical phase transitions at bifurcation points of the underlying
Externí odkaz:
http://arxiv.org/abs/2407.13452
Smart meters, devices measuring the electricity and gas consumption of a household, are currently being deployed at a fast rate throughout the world. The data they collect are extremely useful, including in the fight against climate change. However,
Externí odkaz:
http://arxiv.org/abs/2404.03948
Autor:
Bearden, I., Buchakchiev, V., Buhl, A., Dufke, L., Isidori, T., Jia, S., Kozhuharov, V., Loizides, C., Muller, H., Pfeiffer, D., Rauch, M., Rusu, A., Simeonov, R.
Highly integrated multichannel readout electronics is crucial in contemporary particle physics experiments. A novel silicon photomultiplier readout system based on the VMM3a ASIC was developed, for the first time exploiting this chip for calorimetric
Externí odkaz:
http://arxiv.org/abs/2403.14577
Autor:
Douillard, Arthur, Feng, Qixuan, Rusu, Andrei A., Kuncoro, Adhiguna, Donchev, Yani, Chhaparia, Rachita, Gog, Ionel, Ranzato, Marc'Aurelio, Shen, Jiajun, Szlam, Arthur
Progress in machine learning (ML) has been fueled by scaling neural network models. This scaling has been enabled by ever more heroic feats of engineering, necessary for accommodating ML approaches that require high bandwidth communication between de
Externí odkaz:
http://arxiv.org/abs/2403.10616
In this work, we define the problem of finding an optimal query plan as finding spanning trees with low costs. This approach empowers the utilization of a series of spanning tree algorithms, thereby enabling systematic exploration of the plan search
Externí odkaz:
http://arxiv.org/abs/2403.04026
Sparsifying transforms became in the last decades widely known tools for finding structured sparse representations of signals in certain transform domains. Despite the popularity of classical transforms such as DCT and Wavelet, learning optimal trans
Externí odkaz:
http://arxiv.org/abs/2403.03168
Autor:
Liu, Bo, Chhaparia, Rachita, Douillard, Arthur, Kale, Satyen, Rusu, Andrei A., Shen, Jiajun, Szlam, Arthur, Ranzato, Marc'Aurelio
Local stochastic gradient descent (Local-SGD), also referred to as federated averaging, is an approach to distributed optimization where each device performs more than one SGD update per communication. This work presents an empirical study of {\it as
Externí odkaz:
http://arxiv.org/abs/2401.09135
Economic and policy factors are driving the continuous increase in the adoption and usage of electrical vehicles (EVs). However, despite being a cleaner alternative to combustion engine vehicles, EVs have negative impacts on the lifespan of microgrid
Externí odkaz:
http://arxiv.org/abs/2401.02653
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging
Autor:
Vesal, Sulaiman, Bhattacharya, Indrani, Jahanandish, Hassan, Li, Xinran, Kornberg, Zachary, Zhou, Steve Ran, Sommer, Elijah Richard, Choi, Moon Hyung, Fan, Richard E., Sonn, Geoffrey A., Rusu, Mirabela
Interpreting traditional B-mode ultrasound images can be challenging due to image artifacts (e.g., shadowing, speckle), leading to low sensitivity and limited diagnostic accuracy. While Magnetic Resonance Imaging (MRI) has been proposed as a solution
Externí odkaz:
http://arxiv.org/abs/2312.05334